Python ITML_Supervised.transformer Examples

Example #1

File: algorithms.py Project: RayGit/LINCS

    def process_itml(self, **option):
        '''Metric Learning algorithm: ITML'''
        GeneExp = self.GeneExp_train
        Label = self.Label_train

        itml = ITML_Supervised(**option)
        itml.fit(GeneExp, Label)
        self.Trans['ITML'] = itml.transformer()

Example #2

File: test_transformer_metric_conversion.py Project: qjkobe/Papers

 def test_itml_supervised(self):
   seed = np.random.RandomState(1234)
   itml = ITML_Supervised(num_constraints=200)
   itml.fit(self.X, self.y, random_state=seed)
   L = itml.transformer()
   assert_array_almost_equal(L.T.dot(L), itml.metric())

Example #3

File: test_transformer_metric_conversion.py Project: svecon/metric-learn

 def test_itml_supervised(self):
   seed = np.random.RandomState(1234)
   itml = ITML_Supervised(num_constraints=200)
   itml.fit(self.X, self.y, random_state=seed)
   L = itml.transformer()
   assert_array_almost_equal(L.T.dot(L), itml.metric())